Update README.md

README.md

@@ -34,15 +34,20 @@ inference: true
     <p><em style="color: black; font-weight: bold;">This repo contains the 7M version.</em></p>
 </center>
 
-### About
-Sasando-1 is a tiny, highly experimental text generator built using the Phi-3 architecture. It comes with two variations of microscopic sizes: 7M and 25M parameters. It is trained on a tightly-controlled Indo4B dataset filtered to only have 18000 unique words. The method is inspired by Microsoft's TinyStories paper which demonstrates that a tiny language model can produce fluent text when trained on tightly-controlled dataset.
+### 🎻 Welcome!
+Sasando-1 is a tiny, highly experimental Indonesian text generator built using the Phi-3 architecture. It comes with two variations of microscopic sizes: 7M and 25M parameters. It is trained on a tightly-controlled Indo4B dataset filtered to only have 18000 unique words. The method is inspired by Microsoft's TinyStories paper which demonstrates that a tiny language model can produce fluent text when trained on tightly-controlled dataset.
 
-### Specs
+### ✨ Specs
 - Comes with 7M and 25M parameters
 - Based on Phi-3 architecture
 - Embedding vocab 4096
 - Trained on ~257M tokens * 4 epoch
 
+### 🔭 Out-of-Scope Use
+This is a research preview base model. It is not intruction-tuned and has minimal safety curation. It is not intended for commercial or practical applications.
+
+You are also not allowed to use this model without having fun.
+
 ### Acknowledgments
 
 - **Developed by:** Afrizal Hasbi Azizy